A cross-scanner and cross-tracer deep learning method for the recovery of standard-dose imaging qual...
A cross-scanner and cross-tracer deep learning method for the recovery of standard-dose imaging quality from low-dose PET
About this item
Full title
Author / Creator
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
Purpose
A critical bottleneck for the credibility of artificial intelligence (AI) is replicating the results in the diversity of clinical practice. We aimed to develop an AI that can be independently applied to recover high-quality imaging from low-dose scans on different scanners and tracers.
Methods
Brain [
18
F]FDG PET imaging of...
Alternative Titles
Full title
A cross-scanner and cross-tracer deep learning method for the recovery of standard-dose imaging quality from low-dose PET
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9015984
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9015984
Other Identifiers
ISSN
1619-7070,1619-7089
E-ISSN
1619-7089
DOI
10.1007/s00259-021-05644-1
